
SwiftERM
SwiftERM is an autonomous personalisation tool for ecommerce retailers that learns each customer's changing preferences and buying intent to decide which products to offer next and when, then reaches them after they leave the site.
About SwiftERM
SwiftERM
According to the page, SwiftERM continuously analyses live ecommerce data such as purchase dates, product variants, browsing patterns and visit frequency. It determines autonomously which products are most relevant to each individual customer and when the opportunity to buy is strongest, without requiring customer segments, campaigns, rules or fixed journeys. The page states that emails are generated and sent at the moment a customer is most likely to buy. The page positions this as autonomous individualisation rather than marketing automation, and claims benefits including new revenue, higher average order value, higher customer lifetime value and reduced rate of return. It offers a free 30-day trial with free installation and no lock-in, and cites a Trustpilot review and an average ROI figure of 1,500%.
Key features
- Continuously learns individual customer preferences and buying intent
- Autonomously selects products and timing for each customer without segments, campaigns, rules or journeys
- Analyses live ecommerce data including transactional history, product variants, browsing patterns and visit frequency
- Generates and sends emails at the moment a customer is most likely to buy
- Free installation and free 30-day trial with no lock-in
- Zero ongoing management and no additional staff or training required according to the page
Best suited for
- Ecommerce retailers seeking repeat sales from existing customers
- Retailers wanting to reduce reliance on discounting and indiscriminate promotion
- Online stores in fashion, beauty, grocery, wine, pet food, luxury goods, jewellery, homeware, cycling and similar categories listed on the page
Pricing
Affordable from only £100 pm ($130), with no lock-in contract periods and a free 30-day trial. Full pricing is available on the pricing page.
Discussion
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